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ai-chasmimplementationproductivitymodel

AI Chasm Model: Bridging the Gap Between Hype and Reality

Understanding the AI chasm model that explains why many AI implementations fail to deliver promised productivity gains.

The AI chasm model illustrates the gap between AI capabilities and real-world productivity outcomes...

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Practice prompt

Re-write your AI Chasm Model: Bridging the Gap Between Hype and Reality prompt with explicit success criteria and critique instructions.

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Run the Analyzer pack twice (manual vs. AI) and compare the Overestimation Δ.

Common pitfall

Skipping reviewer verification time hides the real cost of rework and hallucinations.

Key takeaways

  • Run a manual vs. AI comparison to see actual lift.
  • Capture Overestimation Index and micro-TLX together.
  • Document what “good” looks like so teams can replicate it.

See it in action

Drop this into a measured run—demo it, then tie it back to your methodology.

Next Steps

Ready to measure your AI impact? Start with a quick demo to see your Overestimation Δ and cognitive load metrics.

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